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  1. Hassali MA, Mohamad Yahaya AH, Shafie AA, Saleem F, Chua GN, Aljadhey H
    PLoS One, 2013;8(4):e59231.
    PMID: 23573195 DOI: 10.1371/journal.pone.0059231
    The study aims to evaluate the predictors of non-prescription medicine purchasing patterns among pharmacy patrons in Malaysia.
    Matched MeSH terms: Pharmacies/statistics & numerical data*
  2. Halboup AM, Harun SN, Ghadzi SMS, Sulaiman SAS, Ibrahim DA, Areqi AA, et al.
    Malar J, 2025 Mar 25;24(1):98.
    PMID: 40134005 DOI: 10.1186/s12936-025-05291-z
    BACKGROUND: Malaria remains a significant public health concern in Yemen, ranking fourth in incidence within the Eastern Mediterranean Region. Community pharmacists play a pivotal role in malaria management and often dispense anti-malarial medications without prescriptions. However, little is known about their knowledge and adherence to the National Policy for Antimalarial Drugs. This study aimed to evaluate pharmacists' knowledge, experience, and perceived barriers regarding malaria management in Hodeidah, Yemen.

    METHODS: A cross-sectional study was conducted between May and August 2023 across 320 community pharmacies in 16 districts of Hodeidah governorate. A validated questionnaire was used to assess pharmacists' knowledge, experience, and perceived barriers to effective malaria management. Descriptive statistics and logistic regression analysed the associations between sociodemographic factors and pharmacists' knowledge and experience.

    RESULTS: Of the 304 respondents, 10 were excluded due to incomplete data, yielding a valid response rate of 91.9% (294). Most pharmacies were independent (74.8%), and 51.4% were located in Hodeidah city. The majority of the pharmacists were male (92.2%), aged 19-30 years (50.3%), and held a pharmacy diploma (69%). Poor knowledge of malaria management was observed in 76.5% of respondents (mean: 9.96, SD 3.47), with only 34.4% and 43.2% accurately identifying first-line treatments for uncomplicated and complicated malaria, respectively. Additionally, 60.9% were aware of the prevalent malaria species, and 53.1% knew the correct diagnostic methods. However, only 17.0% recognized high-risk groups for complicated malaria, 18.4% identified causes of treatment failure, and 7.8% understood the consequences of malaria during pregnancy. In terms of experience, 76.2% of the participants reported inadequate experience related to anti-malarial medications (mean: 56.71, SD 7.32), with the main barriers being lack of training (78.9%) and insufficient knowledge (73.5%). Multivariable logistic regression revealed that older age (AOR: 6.827, p = 0.020), holding a pharmacy diploma (AOR: 2.555, p = 0.036), and fewer perceived barriers (AOR = 3.830, p 

    Matched MeSH terms: Pharmacies/statistics & numerical data
  3. Ismail A, Gan YN, Ahmad N
    PLoS One, 2020;15(11):e0241082.
    PMID: 33170854 DOI: 10.1371/journal.pone.0241082
    INTRODUCTION: Patient satisfaction is widely used to measure quality of healthcare by identifying potential areas for improvement. Aim of study is to assess patient satisfaction towards pharmacy services and its associated factors using newly developed questionnaire among outpatients attending public health clinics.

    MATERIALS AND METHODS: Public Health Clinic Patient Satisfaction Questionnaire (PHC-PSQ) towards pharmacy services was developed using exploratory factor analysis and Cronbach's α. A cross-sectional study was conducted among 400 patients visiting the pharmacy in three randomly selected public health clinics recruited via systematic random sampling. Data was collected using a set of questionnaire including PHC-PSQ. Factors associated with patient satisfaction was analysed using multiple linear regression.

    RESULTS: Final PHC-PSQ consisted of three domains (administrative competency, technical competency and convenience of location) and 22 items with 69.9% total variance explained. Cronbach's α for total items was 0.96. Total mean score for patient satisfaction was 7.56 (SD 1.32). Older age and higher education were associated with lower patient satisfaction mean score. Patients who had visited the pharmacy more than once in the past three months, perceived to be in better health status and had a more correct general knowledge of pharmacists expressed higher patient satisfaction mean score.

    CONCLUSIONS: PHC-PSQ is a newly developedtool to measure patient satisfaction towards pharmacy services in public health clinics in Malaysia. Patient satisfaction was relatively high. Age, education, frequency of visit, self-perceived health status and general knowledge of pharmacists were factors significantly associated with patient satisfaction.

    Matched MeSH terms: Pharmacies/statistics & numerical data
  4. Saboor M, Momtaz YA, Kamrani AA, Sahaf R
    Med Glas (Zenica), 2019 Feb 01;16(1):115-120.
    PMID: 30680985 DOI: 10.17392/986-19
    Aim To assess prescription pattern among Iranian communitydwelling older adults. Methods This cross-sectional study employed a cluster random sampling to obtain a sample of 1591 patients aged 60 years and over referred to pharmacies in Tehran, 2017. Data were collected using a questionnaire: socio-demographic characteristics, type of pharmacy visited, the municipal district, the university covering the pharmacy, the number and names of prescribed drugs, drug category, type of insurances and physician's socio-demographic profile (age, gender, type of specialization, and work experience). Results The mean age of the patients was 70.51±7.84. A total of 5838 drugs were prescribed, giving an average of 3.73±2.24 drugs per patient (ranging of 1-15). Polypharmacy was noticed in 32.4% patients. Cardiovascular drugs accounted for 20.8% of the prescriptions, antidiabetics 8.8%, nutritional agents and vitamins 7.6%, and analgesics, anti-inflammatory drugs and antipyretics accounted for 7.5%. Conclusion Developing educational programs on geriatric pharmacology general practitioners and more supervision among community-dwelling older adults might have effects on prescription pattern. There is a need for prescriber training and retraining with emphasis on the geriatric population.
    Matched MeSH terms: Pharmacies/statistics & numerical data*
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